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<a href="_c_partition_8cs.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001 ﻿using System;
<a name="l00002"></a>00002 <span class="keyword">using</span> System.Collections.Generic;
<a name="l00003"></a>00003 <span class="keyword">using</span> System.Linq;
<a name="l00004"></a>00004 <span class="keyword">using</span> System.Text;
<a name="l00005"></a>00005 
<a name="l00006"></a>00006 <span class="keyword">namespace </span>ClusterAggregation.DataSets
<a name="l00007"></a>00007 {
<a name="l00011"></a><a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html">00011</a>     <span class="keyword">public</span> <span class="keyword">class </span><a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html">CPartition</a>
<a name="l00012"></a>00012     {
<a name="l00017"></a><a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#a7ea8662b7d1c6126b3e8b440ad40d0c7">00017</a>         <span class="keyword">public</span> List&lt;CCluster&gt; <a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#a7ea8662b7d1c6126b3e8b440ad40d0c7">_clusters</a>;
<a name="l00018"></a>00018 
<a name="l00022"></a><a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#a1be9e2847752c965f383b344318065b7">00022</a>         <span class="keyword">public</span> <span class="keywordtype">string</span> name = <span class="stringliteral">&quot;&quot;</span>;
<a name="l00026"></a><a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#ab47f8f65306a645f0ce17581643115bd">00026</a>         <span class="keyword">public</span> <span class="keywordtype">double</span> ANMI = 0;
<a name="l00027"></a>00027 
<a name="l00031"></a>00031         <span class="keyword">public</span> List&lt;CCluster&gt; clusters
<a name="l00032"></a><a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#a749d3edca2897d2127ce95934648d3ea">00032</a>         {
<a name="l00033"></a>00033             <span class="keyword">get</span>
<a name="l00034"></a>00034             {
<a name="l00035"></a>00035                 <span class="keywordflow">return</span> _clusters;
<a name="l00036"></a>00036             }
<a name="l00037"></a>00037         } <span class="comment">// no setter</span>
<a name="l00038"></a>00038 
<a name="l00042"></a><a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#ac74ac140212aa2e9f4558eb170b00854">00042</a>         <span class="keyword">public</span> <a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html">CPartition</a>()
<a name="l00043"></a>00043         {
<a name="l00044"></a>00044             _clusters = <span class="keyword">new</span> List&lt;CCluster&gt;();
<a name="l00045"></a>00045         }
<a name="l00046"></a>00046 
<a name="l00052"></a><a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#aa8487de094410cfdf6bfeec93019bc91">00052</a>         <span class="keyword">public</span> <span class="keywordtype">double</span> compareTo(<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html">CPartition</a>[] b)
<a name="l00053"></a>00053         {
<a name="l00054"></a>00054             <span class="keywordtype">double</span> sum = 0;
<a name="l00055"></a>00055             <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; b.Length; i++)
<a name="l00056"></a>00056             {
<a name="l00057"></a>00057                 sum += this.compareTo(b[i]);
<a name="l00058"></a>00058             }
<a name="l00059"></a>00059             <span class="keywordflow">return</span> sum / b.Length;
<a name="l00060"></a>00060         }
<a name="l00064"></a><a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html#a867d43104231ea05d4d7e34b30fb9610">00064</a>         <span class="keyword">public</span> <span class="keywordtype">double</span> compareTo(<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_partition.html">CPartition</a> b)
<a name="l00065"></a>00065         {
<a name="l00066"></a>00066             <span class="keywordtype">double</span> sum = 0;
<a name="l00067"></a>00067             <span class="keywordtype">double</span> norm1 = 0, norm2 = 0;
<a name="l00068"></a>00068             <span class="keywordtype">double</span> tmp, cnt;
<a name="l00069"></a>00069             <span class="keywordtype">double</span> Nhl; <span class="comment">// number of shared objects</span>
<a name="l00070"></a>00070             <span class="comment">//double unions; // size of union</span>
<a name="l00071"></a>00071             <span class="keywordtype">double</span> n = 0;
<a name="l00072"></a>00072             LinkedList&lt;CCluster&gt; ths = <span class="keyword">new</span> LinkedList&lt;CCluster&gt;();
<a name="l00073"></a>00073             LinkedList&lt;CCluster&gt; hm = <span class="keyword">new</span> LinkedList&lt;CCluster&gt;();
<a name="l00074"></a>00074 
<a name="l00075"></a>00075             <span class="keywordflow">foreach</span>(<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html">CCluster</a> cls <span class="keywordflow">in</span> this._clusters)
<a name="l00076"></a>00076             {
<a name="l00077"></a>00077                 n += cls.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html#af1e83ae264752f01ceec25dd4fac5b4b">_data</a>.Count();
<a name="l00078"></a>00078                 <span class="keywordflow">if</span> (cls.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html#af1e83ae264752f01ceec25dd4fac5b4b">_data</a>.Count() != 0)
<a name="l00079"></a>00079                     ths.AddFirst(cls);
<a name="l00080"></a>00080             }
<a name="l00081"></a>00081             <span class="keywordflow">foreach</span> (<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html">CCluster</a> cls <span class="keywordflow">in</span> b._clusters)
<a name="l00082"></a>00082             {
<a name="l00083"></a>00083                 <span class="keywordflow">if</span> (cls.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html#af1e83ae264752f01ceec25dd4fac5b4b">_data</a>.Count() != 0)
<a name="l00084"></a>00084                     hm.AddFirst(cls);
<a name="l00085"></a>00085             }
<a name="l00086"></a>00086 
<a name="l00087"></a>00087             <span class="comment">//  entropy</span>
<a name="l00088"></a>00088             <span class="keywordflow">foreach</span> (<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html">CCluster</a> cls <span class="keywordflow">in</span> ths)
<a name="l00089"></a>00089             {
<a name="l00090"></a>00090                 tmp = cls.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html#af1e83ae264752f01ceec25dd4fac5b4b">_data</a>.Count();
<a name="l00091"></a>00091                 norm1 += tmp * Math.Log(tmp / n, 2);
<a name="l00092"></a>00092             }
<a name="l00093"></a>00093             <span class="keywordflow">if</span> (norm1 == 0) norm1 = n / (n + 1);  <span class="comment">// if 0, append to 1 - happens when entire data is in 1 cluster</span>
<a name="l00094"></a>00094 
<a name="l00095"></a>00095             <span class="keywordflow">foreach</span> (<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html">CCluster</a> cls <span class="keywordflow">in</span> hm)
<a name="l00096"></a>00096             {
<a name="l00097"></a>00097                 tmp = cls.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html#af1e83ae264752f01ceec25dd4fac5b4b">_data</a>.Count();
<a name="l00098"></a>00098                 norm2 += tmp * Math.Log(tmp / n, 2);
<a name="l00099"></a>00099             }
<a name="l00100"></a>00100             <span class="keywordflow">if</span> (norm2 == 0) norm2 = n / (n + 1);  <span class="comment">// if 0, append to 1 - happens when entire data is in 1 cluster</span>
<a name="l00101"></a>00101 
<a name="l00102"></a>00102             <span class="comment">// 1 cluster has all the objects</span>
<a name="l00103"></a>00103             <span class="keywordflow">if</span> (norm1 == 0)
<a name="l00104"></a>00104                 norm1 = -1;
<a name="l00105"></a>00105             <span class="keywordflow">if</span> (norm2 == 0)
<a name="l00106"></a>00106                 norm2 = -1;
<a name="l00107"></a>00107 
<a name="l00108"></a>00108             <span class="keywordflow">foreach</span> (<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html">CCluster</a> cls1 <span class="keywordflow">in</span> ths)
<a name="l00109"></a>00109             {
<a name="l00110"></a>00110                 <span class="keywordflow">foreach</span> (<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html">CCluster</a> cls2 <span class="keywordflow">in</span> hm)
<a name="l00111"></a>00111                 {
<a name="l00112"></a>00112                     Nhl = cls1.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html#af1e83ae264752f01ceec25dd4fac5b4b">_data</a>.Intersect(cls2.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html#af1e83ae264752f01ceec25dd4fac5b4b">_data</a>).Count();
<a name="l00113"></a>00113                    <span class="comment">// unions = cls1._data.Union(cls2._data).Count();</span>
<a name="l00114"></a>00114 
<a name="l00115"></a>00115                     <span class="keywordflow">if</span> (Nhl != 0)
<a name="l00116"></a>00116                     {
<a name="l00117"></a>00117                         cnt = cls1.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html#aa1167b91446ddbf35eccded4ac799e52">data</a>.Count() * cls2.<a class="code" href="class_cluster_aggregation_1_1_data_sets_1_1_c_cluster.html#aa1167b91446ddbf35eccded4ac799e52">data</a>.Count(); <span class="comment">// calculate buttom</span>
<a name="l00118"></a>00118                         <span class="keywordflow">if</span> (cnt == 0)
<a name="l00119"></a>00119                             <span class="keywordflow">return</span> 0.0;
<a name="l00120"></a>00120                         tmp = Nhl * Math.Log(Nhl * n / cnt, 2); <span class="comment">// calculate upper</span>
<a name="l00121"></a>00121                         <span class="keywordflow">if</span> (<span class="keywordtype">double</span>.IsNaN(tmp))
<a name="l00122"></a>00122                             sum += n / (n + 1);
<a name="l00123"></a>00123                         <span class="keywordflow">else</span> 
<a name="l00124"></a>00124                             sum += tmp;
<a name="l00125"></a>00125                     }
<a name="l00126"></a>00126                 }
<a name="l00127"></a>00127             }
<a name="l00128"></a>00128 
<a name="l00129"></a>00129             <span class="keywordflow">return</span> sum / (Math.Sqrt(norm1*norm2) );
<a name="l00130"></a>00130         }
<a name="l00131"></a>00131     }
<a name="l00132"></a>00132 }
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